DocumentCode :
3022594
Title :
A semantic-centric approach to information visualization
Author :
Chen, Chaomei ; Carr, Leslie
Author_Institution :
Dept. of Inf. Syst. & Comput., Brunel Univ., Uxbridge, UK
fYear :
1999
fDate :
1999
Firstpage :
18
Lastpage :
23
Abstract :
A semantic-centric approach to information visualization is described in this paper. In contrast to the conventional document-centric approaches, the semantic-centric approach focuses on the intrinsic connectivity in an information space beyond the boundary of individual documents. The approach aims to visualize the profound interrelationships perceived by the scientific community through the literature. An application of this approach is demonstrated through an author co-citation analysis of the entire collection of the ACM Hypertext conference proceedings over the last decade. Sub-fields, or specialties, in the field of hypertext are visualized based on the results of a factor analysis of author co-citation patterns. Nine snapshots of annual author co-citation maps introduce a new way of knowledge discovering in an information space shaped by the contemporary literature
Keywords :
citation analysis; data mining; data visualisation; ACM Hypertext conference proceedings; annual author co-citation map snapshots; author co-citation analysis; factor analysis; hypertext; information space; interrelationship visualisation; intrinsic connectivity; knowledge discovery; scientific community; semantic-centric information visualization; specialties; sub-fields; Chaos; Citation analysis; Hip; Indexing; Information systems; Information technology; Intersymbol interference; Space technology; Visualization; Yarn;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualization, 1999. Proceedings. 1999 IEEE International Conference on
Conference_Location :
London
ISSN :
1093-9547
Print_ISBN :
0-7695-0210-5
Type :
conf
DOI :
10.1109/IV.1999.781529
Filename :
781529
Link To Document :
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